PerceptiLabs Blog

Exploring Generative Adversarial Networks (GANs)

Jun 10, 2020 9:21:58 AM / by PerceptiLabs posted in Machine Learning, Model Management, generative adversarial network, GAN, neural network

0 Comments

A generative adversarial network (GAN) is a powerful approach to machine learning (ML). At a high level, a GAN is simply two neural networks that feed into each other. One produces increasingly accurate data while the other gradually improves its ability to classify such data. 

Read More

Join us at Red Hat's AI/ML: Smart apps, easy delivery, fast platform webinar series

Jun 4, 2020 9:48:48 AM / by PerceptiLabs posted in Transparency, Machine Learning, Model Management, Modeling Tool, Red Hat

0 Comments

Read More

PerceptiLabs Releases Free Source Code for Our Machine Learning Handbook

May 20, 2020 1:16:57 PM / by PerceptiLabs posted in Machine Learning, Model Management, Model building, Modeling Tool

0 Comments

Here at PerceptiLabs we love exploring all sorts of machine learning (ML) approaches. And if you've poked around our site in the last little while, you may have come across our Machine Learning Handbook. It's a free resource that you can download and use to become more familiar with approaches like linear regression, decision trees, k-nearest neighbor, support vector machines (SVMs), clustering, and of course, neural networks.

Read More

Four Common Types of Neural Network Layers (and When to use Them)

May 20, 2020 1:04:11 PM / by PerceptiLabs posted in Machine Learning, Model Management, MLOps, Explainability, Model building, Modeling Tool, Hyperparameters

0 Comments

Neural networks (NN) are the backbone of many of today's machine learning (ML) models, loosely mimicking the neurons of the human brain to recognize patterns from input data. As a result, numerous types of neural network topologies have been designed over the years, built using different types of neural network layers.

Read More

Teaching Your AI to do Powerful Things the Easy Way, with PerceptiLabs and Red Hat

Apr 3, 2020 9:18:16 AM / by PerceptiLabs posted in Machine Learning, Automation, Model Management, MLOps, Red Hat, OpenShift

0 Comments

Read More

A Look at PerceptiLabs’ Browser-Based Architecture

Mar 23, 2020 9:49:50 AM / by PerceptiLabs posted in Machine Learning, Model Management, Technical Information, Modeling Tool

0 Comments

During our initial development of PerceptiLabs Beta, we generated our visual modeling tool as a native, platform-specific executable for Windows, Mac, and Linux.

Read More

MLOps: An “Ops” Just for Machine Learning

Feb 10, 2020 8:01:00 PM / by PerceptiLabs posted in Model Management, Machine Learning Workflow, MLOps, Explainability

0 Comments

If you’ve been around software development for a while, you’ve undoubtedly come across numerous terms appended with the word “Ops”, such as “DevOps”, “TestOps”, or “DataOps”. Of these, “DevOps” (short for “development and information-technology operations”) is probably the most well-known. It refers to a set of software development practices that promote automation and cross collaboration between teams of different disciplines, to reduce software delivery times while achieving a desired level of quality. 

Read More